Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
InterFormer: Real-time Interactive Image Segmentation
ICCV 2023
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER
ACL 2023
Internal Robust Representations for Domain Generalization
AAAI 2023
Interpolating Graph Pair to Regularize Graph Classification
AAAI 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
ICML 2023
Interpretability and Fairness in Machine Learning: A Formal Methods Approach
IJCAI 2023
Interpretable and Fair Boolean Rule Sets via Column Generation
JMLR 2023
Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization
ACL 2023
Interpretable Geometric Deep Learning via Learnable Randomness Injection
ICLR 2023
Interpretations of Domain Adaptations via Layer Variational Analysis
ICLR 2023
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation
WACV 2023
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
AAAI 2023
Intersectionality and Testimonial Injustice in Medical Records
ACL 2023
Intersectional Stereotypes in Large Language Models: Dataset and Analysis
EMNLP 2023
Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers
L4DC 2023
Intra-Source Style Augmentation for Improved Domain Generalization
WACV 2023
Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment
ACL 2023
Intriguing Properties of Quantization at Scale
NeurIPS 2023
Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning
AAAI 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
NeurIPS 2023
Invariant Feature Regularization for Fair Face Recognition
ICCV 2023
Invariant Learning via Probability of Sufficient and Necessary Causes
NeurIPS 2023
Invariant Representations with Stochastically Quantized Neural Networks
AAAI 2023
Investigating Acoustic Cues for Multilingual Abuse Detection
Interspeech 2023
Investigating anatomical bias in clinical machine learning algorithms
EACL 2023